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# RAG like a hero with Docling


- **Date:** Friday, Jul 11, 2025
- **Time:** 09:40–10:10 (30 min)
- **Room:** Stage 6 - Red Hat
- **Event:** World Congress 2025

## Recording

[Watch recording](https://www.wearedevelopers.com/videos/1602-rag-like-a-hero-with-docling)

## Description

Using RAG is relatively simple, especially with libraries like LangChain4j, which provides modules for chunking, ingesting documents, and retrieving them from the vector store. However, getting satisfactory results may be more complicated. Hallucinations, inaccurate information, contradictory answers, invalid parsed data, or incomplete responses.

In this session, you’ll move your RAG knowledge to the next level using LangChain4j and Docling.

## Speakers

### [Alex Soto](https://www.wearedevelopers.com/@alex-soto)

Director of Developer Experience at Red Hat
### [Markus Eisele](https://www.wearedevelopers.com/@markus-eisele)

Cloud Native and AI in a hybrid world. Loves Java and programming.


## Related talks at this congress

- [Supercharged Retrieval with Agentic GraphRAG](https://www.wearedevelopers.com/events/world-congress-2025/sessions/688-supercharged) — Stephen Chin
- [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/events/world-congress-2025/sessions/516-building-ai) — Julián Duque
- [Create AI-Infused Java Apps with LangChain4j](https://www.wearedevelopers.com/events/world-congress-2025/sessions/605-create-ai-infused) — Daniel Oh, Kevin Dubois
- [Agentic GraphRAG with MAGMA (Manifold Agency with Graph Models and Augmentation)](https://www.wearedevelopers.com/events/world-congress-2025/sessions/879-agentic-graphrag) — Andreas Kollegger